Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Management of all enterprise data, including master data.

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Astera

SEPTEMBER 25, 2024

Custom Data Transformations: Users can create custom transformations through DBT or SQL. Real-time Monitoring: Includes monitoring and failure alerting for seamless pipeline management. Why Consider Airbyte Alternatives for Data Integration? Pros Real-time monitoring and error alerts.

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Astera

MAY 14, 2024

Let’s look at some of the metadata types below: Operational metadata: details how and when data occurs and transforms. This metadata type helps to manage, monitor, and optimize system architecture performance. Examples include time stamps, execution logs, data lineage, and dependency mapping. Image by Astera.

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Astera

AUGUST 22, 2024

Organizations should prioritize high data quality during the mid-merge stage as it helps in: Master Data Management (MDM): High-quality data is essential for creating a single, authoritative source of truth (master data) across the combined organization.

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Astera

JANUARY 2, 2024

Execution and handling of data operations. Objective Ensure data quality, security, and compliance. Efficient and effective handling of data. Activities Policy creation, enforcement, and monitoring. Data collection, storage, processing, and usage. Addresses immediate data handling requirements.

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Astera

AUGUST 8, 2023

Reusable Scripts: Astera streamlines data preparation with efficient, reusable scripts across workflows, promoting automation, efficiency, and consistency. Data Security and Compliance: The tool has security and compliance features, safeguarding your data and ensuring adherence to relevant regulations.

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Astera

MAY 9, 2023

To mitigate business risks that are associated with storing data that is sensitive. Businesses must have an effective strategy for data governance to ensure meeting regulatory compliances, minimizing risks, improving data security, and creating accountability for their data.

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